Lee Eun Jee, Ogbolu Yolanda
Eun Jee Lee, PhD, RN, College of Nursing, Chonbuk National University, Republic of Korea. Yolanda Ogbolu, PhD, CRNP-Neonatal, FNAP, Office of Global Health, School of Nursing, University of Maryland, Baltimore.
J Addict Nurs. 2018 Apr/Jun;29(2):128-138. doi: 10.1097/JAN.0000000000000222.
The purposes of this study were to (a) examine the relationship between personal characteristics (age, gender), psychological factors (depression), and physical factors (sleep time) on smartphone addiction in children and (b) determine whether parental control is associated with a lower incidence of smartphone addiction. Data were collected from children aged 10-12 years (N = 208) by a self-report questionnaire in two elementary schools and were analyzed using t test, one-way analysis of variance, correlation, and multiple linear regression. Most of the participants (73.3%) owned a smartphone, and the percentage of risky smartphone users was 12%. The multiple linear regression model explained 25.4% (adjusted R = .239) of the variance in the smartphone addiction score (SAS). Three variables were significantly associated with the SAS (age, depression, and parental control), and three variables were excluded (gender, geographic region, and parental control software). Teens, aged 10-12 years, with higher depression scores had higher SASs. The more parental control perceived by the student, the higher the SAS. There was no significant relationship between parental control software and smartphone addiction. This is one of the first studies to examine smartphone addiction in teens. Control-oriented managing by parents of children's smartphone use is not very effective and may exacerbate smartphone addiction. Future research should identify additional strategies, beyond parental control software, that have the potential to prevent, reduce, and eliminate smartphone addiction.
(a)考察儿童个人特征(年龄、性别)、心理因素(抑郁)和身体因素(睡眠时间)与智能手机成瘾之间的关系;(b)确定父母管控是否与较低的智能手机成瘾发生率相关。通过自填问卷从两所小学的10至12岁儿童(N = 208)中收集数据,并使用t检验、单因素方差分析、相关性分析和多元线性回归进行分析。大多数参与者(73.3%)拥有智能手机,有风险的智能手机用户比例为12%。多元线性回归模型解释了智能手机成瘾得分(SAS)中25.4%(调整后R = 0.239)的方差。三个变量与SAS显著相关(年龄、抑郁和父母管控),三个变量被排除(性别、地理区域和父母管控软件)。10至12岁抑郁得分较高的青少年SAS得分也较高。学生感知到的父母管控越多,SAS得分越高。父母管控软件与智能手机成瘾之间没有显著关系。这是首批考察青少年智能手机成瘾的研究之一。父母对孩子智能手机使用进行的以控制为导向的管理效果不佳,可能会加剧智能手机成瘾。未来的研究应确定除父母管控软件之外的其他策略,这些策略有可能预防、减少和消除智能手机成瘾。